Wonderful! Rude for me maybe, but any ideas about the low pass filter? It seems no such option in SPM2, but may I achieve low pass using some SPM function? On 10/24/07, Torben Ellegaard Lund <[log in to unmask]> wrote: > > Hi Maartje > > > That is indeed possible, though a bit complicated. You get the matrix with > the cosines via the program spm_filter. If you use the matrix in K.X0 as a > user specified regressor, and turn off the normal HP filter by entering inf > as the period, you can even make an F-test to se where the filter had an > effect. > > Hope this helps > Torben > > > > > > > Torben Ellegaard Lund > Assistant Professor, PhD > The Danish National Research Foundation's Center for Functionally > Integrative Neuroscience (CFIN) > Aarhus University > Aarhus University Hospital > Building 30 > Noerrebrogade > 8000 Aarhus C > Denmark > Phone: +4589494380 > Fax: +4589494400 > http://www.cfin.au.dk > [log in to unmask] > > > > > >> help spm_filter > Removes low frequency confounds X0 > FORMAT [Y] = spm_filter(K,Y) > FORMAT [K] = spm_filter(K) > > K - filter matrix or: > K(s) - struct array containing partition-specific specifications > > K(s).RT - observation interval in seconds > K(s).row - row of Y constituting block/partition s > K(s).HParam - cut-off period in seconds > > K(s).X0 - low frequencies to be removed (DCT) > > Y - data matrix > > K - filter structure > Y - filtered data > > ___________________________________________________________________________ > > spm_filter implements high-pass filtering in an efficient way by > using the residual forming matrix of X0 - low frequency confounds > .spm_filter also configures the filter structure in accord with the > specification fields if called with one argument > > ___________________________________________________________________________ > Copyright (C) 2005 Wellcome Department of Imaging Neuroscience > > > > > > > > > > > > On 24/10/2007, at 13.19, Luijten, M. wrote: > > Hi all, > > I am wondering whether and how you can visualize the cosines added by SPM > when you enter a high pass filter. Is it possible to actually see what spm > did? > > Thanks, > Maartje > > > -- 何宏建, He Hongjian BioX laboratory of physics department, Zhejiang University. Zheda Road 38, Hang Zhou, China. 310027 Phone: 86-571-87952811